Instructions to use JayaPrakashAI/Fish-Weight_Test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use JayaPrakashAI/Fish-Weight_Test with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("JayaPrakashAI/Fish-Weight_Test", "example.pkl") ) # only load pickle files from sources you trust # read more about it here https://skops.readthedocs.io/en/stable/persistence.html - Notebooks
- Google Colab
- Kaggle
Download config.json from JayaPrakashAI/Fish-Weight_Test: direct link, hf CLI and curl.
- Browser
- Download file 1.08 kB
-
https://huggingface.co/JayaPrakashAI/Fish-Weight_Test/resolve/main/config.json
- Command line
-
hf download hf://JayaPrakashAI/Fish-Weight_Test/config.json
-
curl -L -o config.json https://huggingface.co/JayaPrakashAI/Fish-Weight_Test/resolve/main/config.json
1.08 kB
| { | |
| "sklearn": { | |
| "columns": [ | |
| "Species", | |
| "Length1", | |
| "Length2", | |
| "Length3", | |
| "Height", | |
| "Width" | |
| ], | |
| "environment": [ | |
| "scikit-learn=1.3.2" | |
| ], | |
| "example_input": { | |
| "Height": [ | |
| 11.52, | |
| 12.48, | |
| 12.3778 | |
| ], | |
| "Length1": [ | |
| 23.2, | |
| 24.0, | |
| 23.9 | |
| ], | |
| "Length2": [ | |
| 25.4, | |
| 26.3, | |
| 26.5 | |
| ], | |
| "Length3": [ | |
| 30.0, | |
| 31.2, | |
| 31.1 | |
| ], | |
| "Species": [ | |
| "Bream", | |
| "Bream", | |
| "Bream" | |
| ], | |
| "Width": [ | |
| 4.02, | |
| 4.3056, | |
| 4.6961 | |
| ] | |
| }, | |
| "model": { | |
| "file": "example.pkl" | |
| }, | |
| "model_format": "pickle", | |
| "task": "tabular-regression" | |
| } | |
| } |